Abstract
A new time-frequency representation called Dopplerlet transform, which uses the dilated, translated and modulated windowed Doppler signals as its basis functions, is proposed, and the Fourier transform, short-time Fourier transform (including Gabor transform), wavelet transform, and chirplet transform are formulated in one framework of Dopplerlet transform accordingly. It is proved that the matching pursuits based on Dopplerlet basis functions are convergent, and that the energy of residual signals yielded in the decomposition process decays exponentially. Simulation results show that the matching pursuits with Dopplerlet basis functions can characterize compactly a nonstationary signal.
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Supported by the National Natural Science Fundation of China (Grant No.69775009)
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Zou, H., Zhou, X., Dai, Q. et al. Dopplerlet based time-frequency representation via matching pursuits. J. of Electron.(China) 18, 217–227 (2001). https://doi.org/10.1007/s11767-001-0031-6
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DOI: https://doi.org/10.1007/s11767-001-0031-6